The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring (Q39728943)

14 September 2017

title

The standardized computerized 24-h dietary recall method EPIC-Soft adapted for pan-European dietary monitoring (English)

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14 September 2017

13

P Amiano

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N Slimani

1

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C Casagrande

2

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G Nicolas

3

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H Freisling

4

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I Huybrechts

5

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M C Ocké

6

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E M Niekerk

7

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C van Rossum

8

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M Bellemans

9

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M De Maeyer

10

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L Lafay

11

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C Krems

12

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E Trolle

14

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A Geelen

15

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J H de Vries

16

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E J de Boer

17

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EFCOVAL Consortium

18

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publication date

1 July 2011

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European Journal of Clinical Nutrition

14 September 2017

published in

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14 September 2017

volume

65 Suppl 1

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14 September 2017

page(s)

S5-15

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Plasma carotenoids as biomarkers of intake of fruits and vegetables: individual-level correlations in the European Prospective Investigation into Cancer and Nutrition (EPIC).

14 September 2017

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Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program--the Norwegian calibration study

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Two non-consecutive 24 h recalls using EPIC-Soft software are sufficiently valid for comparing protein and potassium intake between five European centres--results from the European Food Consumption Validation (EFCOVAL) study.

21 January 2018

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Dietary exposure to flavouring substances: from screening methods to detailed assessments using food consumption data collected with EPIC-Soft software.

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European Nutrition and Health Report 2009.

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Within- and between-cohort variation in measured macronutrient intakes, taking account of measurement errors, in the European Prospective Investigation into Cancer and Nutrition study.

21 January 2018

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A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study

21 January 2018

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Region-specific nutrient intake patterns exhibit a geographical gradient within and between European countries

21 January 2018

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Inventory of experiences from national/regional dietary monitoring surveys using EPIC-Soft

21 January 2018

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Respondents' evaluation of the 24-h dietary recall method (EPIC-Soft) in the EFCOVAL Project

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Potential and requirements for a standardized pan-European food consumption survey using the EPIC-Soft software

21 January 2018

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Plasma phospholipid fatty acid profiles and their association with food intakes: results from a cross-sectional study within the European Prospective Investigation into Cancer and Nutrition

21 January 2018

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Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project

21 January 2018

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The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study

21 January 2018

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Standardization of the 24-hour diet recall calibration method used in the european prospective investigation into cancer and nutrition (EPIC): general concepts and preliminary results.

21 January 2018

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Contribution of highly industrially processed foods to the nutrient intakes and patterns of middle-aged populations in the European Prospective Investigation into Cancer and Nutrition study

21 January 2018

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Perspectives of using the EPIC-SOFT programme in the context of pan-European nutritional monitoring surveys: methodological and practical implications.

21 January 2018

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European food availability databank based on household budget surveys: The Data Food Networking initiative

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Selection of methodology to assess food intake

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inferred from DOI database lookup

7 January 2021

based on heuristic

Nutrition and cancer: Background and rationale of the European Prospective Investigation into Cancer and Nutrition (EPIC)

1 reference

https://api.crossref.org/works/10.1038%2FEJCN.2011.83

inferred from DOI database lookup

7 January 2021

based on heuristic

Identifiers

DOI

10.1038/EJCN.2011.83

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Dimensions Publication ID

14 September 2017

1009310883

0 references

1 reference